[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Mumbai # AI ML Engineer Mumbai Operations Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/next/en-IN/jobs/411225J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / AI ML Engineer ## Job description Role:AI Compass AI ML Engineer - Level 3 Exp Range; - 5 - 10 Yrs Location: Mumbai Must Have: Programming: Python (strong), SQL ML Frameworks: Scikit‑learn, TensorFlow / PyTorch GenAI / LLMs: OpenAI / Azure OpenAI, LangChain, vector databases Data Engineering: ETL pipelines, data modeling, data validation Cloud: Azure / AWS / GCP (at least one) - Design, develop, and deploy machine learning models for prediction, classification, and optimization use cases - Apply supervised, unsupervised, and time‑series techniques - Evaluate models using appropriate metrics (accuracy, precision/recall, RMSE, Sharpe ratio, etc.) - Build and optimize LLM-based applications (chatbots, assistants, summarization, Q&A) Implement Retrieval Augmented Generation (RAG) using vector databases - Work with prompt engineering, model evaluation, and LLM guardrails Integrate LLMs with tools, APIs, and enterprise systems - Perform feature engineering and model tuning - Participate in code reviews and contribute to architecture decisions. Experience with financial domain data (risk, portfolio, pricing, forecasting) Knowledge of model evaluation frameworks and LLM‑as‑judge concepts Exposure to Hugging Face, fine‑tuning, or open‑source LLMs Experience with Spark / Databricks